期刊文献+

基于改进遗传算法的流水车间调度研究与仿真 被引量:2

Research and Simulation on Flow-shop Scheduling Problem based on Improved Genetic Algorithm
下载PDF
导出
摘要 针对流水车间调度过程中的物料流程混乱、设备负荷不均衡的问题,用矩阵表示工件、工序和机器之间的约束关系,通过引入线性自适应算子对交叉算子和变异算子加以改进,对经典流水车间调度问题Car1(11×5)进行了改进遗传算法实现,此外在考虑传输过程的情况下,对该典型问题的加工过程进行了仿真分析。 In order to solve the problem of flow shop scheduling problem which includes disordered material flow and lopsided load of equipment,showing the restriction relationship of job and machine with matix,improving the crossover algorithm and mutation algorithm by introducing linear adaptive algorithm,instancing Car1(11×5) by applying the improved genetic algorithm.Finally considered the transportation and Simulated Car1(11×5).
出处 《装备制造技术》 2011年第2期4-6,9,共4页 Equipment Manufacturing Technology
关键词 流水车间调度 物料流程 交叉算子 变异算子 改进遗传算法 flow shop scheduling problem material flow crossover algorithm mutation algorithm improved genetic algorithm
  • 相关文献

参考文献3

二级参考文献15

  • 1Cetinkaya F C. Lot streaming in a two-stage flow shop with set-up,processing and removal times separated[J]. Journal of Operational Research Society,1994,45:1445-1455.
  • 2Jeong H,Park J,Leachman R C. A batch splitting method for a job shop scheduling problem in an MRP enviroment[J]. International Journal of Production Reseach,1999,37(15): 3583-3598.
  • 3Sambong Kim,Jungyoup Woo,Sungsik Park,et al.Integrated development of nonlinear process planning and simulation-based shop floor control[A].Proceedings of the 2002 Winter Simulation Conference[C].Piscataway,NJ,USA:IEEE Press,2002:1 465-1 468.
  • 4Smith J S,Wysk R A,Sturrock D T,et al.Discrete event simulation for shop floor control[A].Proceedings of the 1994 Winter Simulation Conference[C].Piscataway,NJ,USA:IEEE Press,1994:962-969.
  • 5Ishibuchi H, Murata T A. Multi-objective genetic local search algorithm and its application to flowshop scheduling [J].IEEE Transactions on systems man and cybernetics part C:1998,28(3): 392-403.
  • 6Ishibuchi H, Yoshida T, Murata T. Balance between genetic search and local search in memetic algorithms for muhiobjective permutation flowshop scheduling [J].IEEE Transactions on Evolutionary Computation,2003,7(2):204-223.
  • 7Jaszkiewicz A. Genetic local search for multi-objective combinatorial optimization [J].European Journal of Operational Research,2002,137(1):50-71.
  • 8Knowles J, Come D. M-PAES :A memetic algorithm for multiobjective optimization [A].Proceedings of the 2000 Congress on Evolutionary Computation [C].Piscataway,NJ,USA:IEEE, 2000,325-332.
  • 9Jaszkiewicz A. On the Performance of multiple-objective gengtic local search on the 0/1 knapsack problem: a comparative experiment [J].IEEE Transactions on Evolutionary Computation, 2002,6(4):402-412.
  • 10Elaoud S, Loukil T,Teghem J.The Pareto fitness gengtic algorithm:Test function study[J]. European Journal of Operational Research,2005.

共引文献10

同被引文献11

引证文献2

二级引证文献19

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部